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Figure 2.1: A randomly deployed network over a circular area.

Figure 2 1: A randomly deployed network over a circular area.

Related Figures (23)

Figure 1.1: Mica mote. nodes far from the sink die earlier than the other nodes. In a multi-hop network, however,
Figure 1.1: Mica mote. nodes far from the sink die earlier than the other nodes. In a multi-hop network, however,
where |-| denotes the integer ceiling. To ease the notations, let us assume that R is ar [a a (oe, ee <n
where |-| denotes the integer ceiling. To ease the notations, let us assume that R is ar [a a (oe, ee <n
Figure 3.2: Probability of achieving the lifetime threshold vs. the ratio of dead nodes for single-hop networks deployed over different area shapes. achieving the desired lifetime.
Figure 3.2: Probability of achieving the lifetime threshold vs. the ratio of dead nodes for single-hop networks deployed over different area shapes. achieving the desired lifetime.
Figure 3.4: Probability of achieving the lifetime threshold vs. the ratio of dead nodes in a multi-hop network
Figure 3.4: Probability of achieving the lifetime threshold vs. the ratio of dead nodes in a multi-hop network
earlier. As a consequence, the optimal density can be obtained for each secto1 Figure 3.6: An arbitrary network with non-centered sink. the sector, the average traffic load can be determined similar to the approach that we tool
earlier. As a consequence, the optimal density can be obtained for each secto1 Figure 3.6: An arbitrary network with non-centered sink. the sector, the average traffic load can be determined similar to the approach that we tool
Figure 4.1: Sensor nodes deployed randomly within a cluster.
Figure 4.1: Sensor nodes deployed randomly within a cluster.
Figure 4.3: Comparison of the number of alive nodes versus time between periodic and adaptive clustering.
Figure 4.3: Comparison of the number of alive nodes versus time between periodic and adaptive clustering.
Figure 4.7: Effect of the data aggregation ratio.
Figure 4.7: Effect of the data aggregation ratio.
Figure 5.2: Traffic load distribution (V = 15, 30, 60).
Figure 5.2: Traffic load distribution (V = 15, 30, 60).
Figure 5.3: Traffic load distribution (V = 1000).
Figure 5.3: Traffic load distribution (V = 1000).
Figure 5.4: Linearly increasing distribution of the nodes over the network.
Figure 5.4: Linearly increasing distribution of the nodes over the network.
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